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Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score

Construction of machine learning models to predict phecode diagnosesWe screened 3612 phecodes included in phecodeX to identify 336 phecodes corresponding to non-communicable chronic disease...

Accurate identification of locally aneuploid cells by incorporating cytogenetic information in single cell data analysis

Single-cell RNA sequencing (scRNA-seq) has greatly improved our ability to understand the cellular composition of the tissues and organs of interest, identify phenotype-associated cell...

Exploring seed characteristics and performance through advanced physico-chemical techniques

The EPR spectra of the wheat (A, B, C, and D) seeds are displayed in Fig. 2. Under the measurement condition of 1 mW, the...

Assessment of NK cytotoxicity and interactions with porcine endothelial cells by live-cell imaging in 2D static and 3D microfluidic systems

Chemicals, culture media, and supplements(3-Aminopropyl) tiethoxysilane (APTES), bovine serum albumin (BSA), dextran from Leuconostoc spp., ethylenediaminetetraacetic acid (EDTA), fetal bovine serum (FBS), glutaraldehyde, human...

Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning

Many studies have shown that MALDI-TOF MS is not only a faster approach than existing AST methods but also much more cost-effective17. In order...

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